The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 15, 2023

Filed:

Mar. 29, 2022
Applicant:

Wells Fargo Bank, N.a., San Francisco, CA (US);

Inventors:

Pierre Arbajian, Matthews, NC (US);

Adam Sanders, Huntersville, NC (US);

Andrew J. Garner, State Road, NC (US);

Michael Erik Meinholz, Charlotte, NC (US);

Ramesh Yarlagadda, Charlotte, NC (US);

Ramanathan Ramanathan, San Francisco, CA (US);

Abhijit Rao, Irvine, CA (US);

Bradford A. Shea, Mint Hill, NC (US);

Assignee:

Wells Fargo Bank, N.A., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G09C 1/00 (2006.01); H04L 9/06 (2006.01);
U.S. Cl.
CPC ...
G09C 1/00 (2013.01); H04L 9/0618 (2013.01);
Abstract

Systems, apparatuses, methods, and computer program products are disclosed for post-quantum cryptography (PQC). An example method includes receiving data, a set of data attributes about the data, and a risk profile data structure indicative of a vulnerability of the data in a PQC data environment. The example method further includes retrieving PQC cryptographic performance information associated with a set of PQC cryptographic techniques. The PQC cryptographic performance information may comprise a set of PQC cryptographic performance attributes for a plurality of PQC cryptographic techniques in the set of PQC cryptographic techniques. The example method further includes selecting a PQC encryption algorithm for encrypting the data based on the set of data attributes, the risk profile data structure, the PQC cryptographic performance information, and a PQC optimization machine learning model. Subsequently, the example method includes encrypting the data based on the selected PQC encryption algorithm.


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